Uses of Class
org.tribuo.Prediction

Packages that use Prediction

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.anomaly.evaluation	Evaluation classes for anomaly detection.
org.tribuo.anomaly.liblinear	Provides an interface to LibLinear-java for anomaly detection problems.
org.tribuo.anomaly.libsvm	Provides an interface to LibSVM for anomaly detection problems.
org.tribuo.classification.baseline	Provides simple baseline multiclass classifiers.
org.tribuo.classification.ensemble	Provides majority vote ensemble combiners for classification along with an implementation of multiclass Adaboost.
org.tribuo.classification.evaluation	Evaluation classes for multi-class classification.
org.tribuo.classification.explanations	Provides core infrastructure for local model based explanations.
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
org.tribuo.classification.liblinear	Provides an interface to LibLinear-java for classification problems.
org.tribuo.classification.libsvm	Provides an interface to LibSVM for classification problems.
org.tribuo.classification.mnb	Provides an implementation of multinomial naive bayes (i.e., naive bayes for non-negative count data).
org.tribuo.classification.sequence	Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
org.tribuo.classification.sequence.viterbi	Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any Label based classification model.
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.kernel	Provides a SGD implementation of a Kernel SVM using the Pegasos algorithm.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.classification.xgboost	Provides an interface to XGBoost for classification problems.
org.tribuo.clustering.evaluation	Evaluation classes for clustering.
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.
org.tribuo.common.nearest	Provides a K-Nearest Neighbours implementation which works across all Tribuo Output types.
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.common.xgboost	Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
org.tribuo.ensemble	Provides an interface for model prediction combinations, two base classes for ensemble models, a base class for ensemble excuses, and a Bagging implementation.
org.tribuo.evaluation	Evaluation base classes, along with code for train/test splits and cross validation.
org.tribuo.evaluation.metrics	This package contains the infrastructure classes for building evaluation metrics.
org.tribuo.interop	This package contains the abstract implementation of an external model trained by something outside of Tribuo.
org.tribuo.interop.onnx	This package contains a Tribuo wrapper around the ONNX Runtime.
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.interop.tensorflow.sequence	Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
org.tribuo.multilabel.baseline	Provides an implementation of independent multi-label classification that wraps a Label Trainer and uses it to make independent predictions of each label.
org.tribuo.multilabel.evaluation	Evaluation classes for multi-label classification using MultiLabel.
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.regression.baseline	Provides simple baseline regression predictors.
org.tribuo.regression.ensemble	Provides EnsembleCombiner implementations for working with multi-output regression problems.
org.tribuo.regression.evaluation	Evaluation classes for single or multi-dimensional regression.
org.tribuo.regression.impl	Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.liblinear	Provides an interface to liblinear for regression problems.
org.tribuo.regression.libsvm	Provides an interface to LibSVM for regression problems.
org.tribuo.regression.rtree	Provides an implementation of decision trees for regression problems.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.
org.tribuo.regression.xgboost	Provides an interface to XGBoost for regression problems.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.
org.tribuo.transform	Provides infrastructure for applying transformations to a Dataset.

Uses of Prediction in org.tribuo

Methods in org.tribuo that return Prediction

Modifier and Type	Method and Description
Prediction<T>	Excuse.getPrediction() Returns the prediction being excused.
abstract Prediction<T>	Model.predict(Example<T> example) Uses the model to predict the output for a single example.

Methods in org.tribuo that return types with arguments of type Prediction

Modifier and Type	Method and Description
protected List<Prediction<T>>	Model.innerPredict(Iterable<Example<T>> examples) Called by the base implementations of Model.predict(Iterable) and Model.predict(Dataset).
List<Prediction<T>>	Model.predict(Dataset<T> examples) Uses the model to predict the outputs for multiple examples contained in a data set.
List<Prediction<T>>	Model.predict(Iterable<Example<T>> examples) Uses the model to predict the output for multiple examples.

Methods in org.tribuo with parameters of type Prediction

Modifier and Type	Method and Description
boolean	Prediction.distributionEquals(Prediction<T> other) Checks that the other prediction has the same distribution as this prediction, using the Output.fullEquals(T) method.

Constructors in org.tribuo with parameters of type Prediction

Constructor and Description
Excuse(Example<T> example, Prediction<T> prediction, Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>> weights) Constructs an excuse for the prediction of the supplied example, using the feature weights.
Prediction(Prediction<T> other, int numUsed, Example<T> example) Constructs a prediction from the supplied arguments.

Uses of Prediction in org.tribuo.anomaly.evaluation

Method parameters in org.tribuo.anomaly.evaluation with type arguments of type Prediction

Modifier and Type	Method and Description
org.tribuo.anomaly.evaluation.AnomalyMetric.Context	AnomalyMetric.createContext(Model<Event> model, List<Prediction<Event>> predictions)
protected org.tribuo.anomaly.evaluation.AnomalyMetric.Context	AnomalyEvaluator.createContext(Model<Event> model, List<Prediction<Event>> predictions)

Uses of Prediction in org.tribuo.anomaly.liblinear

Methods in org.tribuo.anomaly.liblinear that return Prediction

Modifier and Type	Method and Description
Prediction<Event>	LibLinearAnomalyModel.predict(Example<Event> example)

Uses of Prediction in org.tribuo.anomaly.libsvm

Methods in org.tribuo.anomaly.libsvm that return Prediction

Modifier and Type	Method and Description
Prediction<Event>	LibSVMAnomalyModel.predict(Example<Event> example)

Uses of Prediction in org.tribuo.classification.baseline

Methods in org.tribuo.classification.baseline that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	DummyClassifierModel.predict(Example<Label> example)

Uses of Prediction in org.tribuo.classification.ensemble

Methods in org.tribuo.classification.ensemble that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)

Method parameters in org.tribuo.classification.ensemble with type arguments of type Prediction

Modifier and Type	Method and Description
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)

Uses of Prediction in org.tribuo.classification.evaluation

Method parameters in org.tribuo.classification.evaluation with type arguments of type Prediction

Modifier and Type	Method and Description
static double	LabelMetrics.AUCROC(Label label, List<Prediction<Label>> predictions) Area under the ROC curve.
static double	LabelMetrics.AUCROC(MetricTarget<Label> tgt, List<Prediction<Label>> predictions) Area under the ROC curve.
static double	LabelMetrics.averagedPrecision(Label label, List<Prediction<Label>> predictions)
static double	LabelMetrics.averagedPrecision(MetricTarget<Label> tgt, List<Prediction<Label>> predictions)
LabelMetric.Context	LabelMetric.createContext(Model<Label> model, List<Prediction<Label>> predictions)
protected LabelMetric.Context	LabelEvaluator.createContext(Model<Label> model, List<Prediction<Label>> predictions)
static LabelEvaluationUtil.PRCurve	LabelMetrics.precisionRecallCurve(Label label, List<Prediction<Label>> predictions)

Constructor parameters in org.tribuo.classification.evaluation with type arguments of type Prediction

Constructor and Description
Context(Model<Label> model, List<Prediction<Label>> predictions)
Context(SequenceModel<Label> model, List<Prediction<Label>> predictions)
LabelConfusionMatrix(ImmutableOutputInfo<Label> domain, List<Prediction<Label>> predictions) Creates a confusion matrix from the supplied predictions and label info.
LabelConfusionMatrix(Model<Label> model, List<Prediction<Label>> predictions) Creates a confusion matrix from the supplied predictions, using the label info from the supplied model.

Uses of Prediction in org.tribuo.classification.explanations

Methods in org.tribuo.classification.explanations that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	Explanation.getPrediction() The original model's prediction which is being explained.

Uses of Prediction in org.tribuo.classification.explanations.lime

Methods in org.tribuo.classification.explanations.lime that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	LIMEExplanation.getPrediction()

Methods in org.tribuo.classification.explanations.lime with parameters of type Prediction

Modifier and Type	Method and Description
static Regressor	LIMEBase.transformOutput(Prediction<Label> prediction) Transforms a Prediction for a multiclass problem into a Regressor output which represents the probability for each class.

Constructors in org.tribuo.classification.explanations.lime with parameters of type Prediction

Constructor and Description
LIMEExplanation(SparseModel<Regressor> model, Prediction<Label> prediction, RegressionEvaluation evaluation)

Uses of Prediction in org.tribuo.classification.liblinear

Methods in org.tribuo.classification.liblinear that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	LibLinearClassificationModel.predict(Example<Label> example)

Uses of Prediction in org.tribuo.classification.libsvm

Methods in org.tribuo.classification.libsvm that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	LibSVMClassificationModel.predict(Example<Label> example)

Uses of Prediction in org.tribuo.classification.mnb

Methods in org.tribuo.classification.mnb that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	MultinomialNaiveBayesModel.predict(Example<Label> example)

Uses of Prediction in org.tribuo.classification.sequence

Methods in org.tribuo.classification.sequence that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<Label>>	LabelSequenceEvaluation.getPredictions() Gets the flattened predictions.

Method parameters in org.tribuo.classification.sequence with type arguments of type Prediction

Modifier and Type	Method and Description
protected LabelMetric.Context	LabelSequenceEvaluator.createContext(SequenceModel<Label> model, List<List<Prediction<Label>>> predictions)
static <SUB extends ConfidencePredictingSequenceModel.Subsequence> List<Double>	ConfidencePredictingSequenceModel.multiplyWeights(List<Prediction<Label>> predictions, List<SUB> subsequences) A scoring method which multiplies together the per prediction scores.
abstract <SUB extends ConfidencePredictingSequenceModel.Subsequence> List<Double>	ConfidencePredictingSequenceModel.scoreSubsequences(SequenceExample<Label> example, List<Prediction<Label>> predictions, List<SUB> subsequences) The scoring function for the subsequences.

Uses of Prediction in org.tribuo.classification.sequence.viterbi

Methods in org.tribuo.classification.sequence.viterbi that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<List<Prediction<Label>>>	ViterbiModel.predict(SequenceDataset<Label> examples)
List<Prediction<Label>>	ViterbiModel.predict(SequenceExample<Label> examples)

Uses of Prediction in org.tribuo.classification.sgd.crf

Methods in org.tribuo.classification.sgd.crf that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<Label>>	CRFModel.predict(SequenceExample<Label> example)

Method parameters in org.tribuo.classification.sgd.crf with type arguments of type Prediction

Modifier and Type	Method and Description
<SUB extends ConfidencePredictingSequenceModel.Subsequence> List<Double>	CRFModel.scoreSubsequences(SequenceExample<Label> example, List<Prediction<Label>> predictions, List<SUB> subsequences)

Uses of Prediction in org.tribuo.classification.sgd.kernel

Methods in org.tribuo.classification.sgd.kernel that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	KernelSVMModel.predict(Example<Label> example)

Uses of Prediction in org.tribuo.classification.sgd.linear

Methods in org.tribuo.classification.sgd.linear that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	LinearSGDModel.predict(Example<Label> example)

Uses of Prediction in org.tribuo.classification.xgboost

Methods in org.tribuo.classification.xgboost that return Prediction

Modifier and Type	Method and Description
Prediction<Label>	XGBoostClassificationConverter.convertOutput(ImmutableOutputInfo<Label> info, List<float[]> probabilitiesList, int numValidFeatures, Example<Label> example)

Methods in org.tribuo.classification.xgboost that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<Label>>	XGBoostClassificationConverter.convertBatchOutput(ImmutableOutputInfo<Label> info, List<float[][]> probabilitiesList, int[] numValidFeatures, Example<Label>[] examples)

Uses of Prediction in org.tribuo.clustering.evaluation

Method parameters in org.tribuo.clustering.evaluation with type arguments of type Prediction

Modifier and Type	Method and Description
org.tribuo.clustering.evaluation.ClusteringMetric.Context	ClusteringMetric.createContext(Model<ClusterID> model, List<Prediction<ClusterID>> predictions)
protected org.tribuo.clustering.evaluation.ClusteringMetric.Context	ClusteringEvaluator.createContext(Model<ClusterID> model, List<Prediction<ClusterID>> predictions)

Uses of Prediction in org.tribuo.clustering.kmeans

Methods in org.tribuo.clustering.kmeans that return Prediction

Modifier and Type	Method and Description
Prediction<ClusterID>	KMeansModel.predict(Example<ClusterID> example)

Uses of Prediction in org.tribuo.common.nearest

Methods in org.tribuo.common.nearest that return Prediction

Modifier and Type	Method and Description
Prediction<T>	KNNModel.predict(Example<T> example)

Methods in org.tribuo.common.nearest that return types with arguments of type Prediction

Modifier and Type	Method and Description
protected List<Prediction<T>>	KNNModel.innerPredict(Iterable<Example<T>> examples) Uses the model to predict the output for multiple examples.

Uses of Prediction in org.tribuo.common.tree

Methods in org.tribuo.common.tree that return Prediction

Modifier and Type	Method and Description
Prediction<T>	LeafNode.getPrediction(int numUsed, Example<T> example) Constructs a new prediction object based on this node's scores.
Prediction<T>	TreeModel.predict(Example<T> example)

Uses of Prediction in org.tribuo.common.xgboost

Methods in org.tribuo.common.xgboost that return Prediction

Modifier and Type	Method and Description
protected Prediction<T>	XGBoostExternalModel.convertOutput(float[][] output, int numValidFeatures, Example<T> example)
Prediction<T>	XGBoostOutputConverter.convertOutput(ImmutableOutputInfo<T> info, List<float[]> probabilities, int numValidFeatures, Example<T> example) Converts a list of float arrays from XGBoost Boosters into a Tribuo Prediction.
Prediction<T>	XGBoostModel.predict(Example<T> example)

Methods in org.tribuo.common.xgboost that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<T>>	XGBoostOutputConverter.convertBatchOutput(ImmutableOutputInfo<T> info, List<float[][]> probabilities, int[] numValidFeatures, Example<T>[] examples) Converts a list of float arrays from XGBoost Boosters into a Tribuo Prediction.
protected List<Prediction<T>>	XGBoostExternalModel.convertOutput(float[][] output, int[] numValidFeatures, List<Example<T>> examples)
List<Prediction<T>>	XGBoostModel.predict(Dataset<T> examples) Uses the model to predict the labels for multiple examples contained in a data set.
List<Prediction<T>>	XGBoostModel.predict(Iterable<Example<T>> examples) Uses the model to predict the label for multiple examples.

Uses of Prediction in org.tribuo.ensemble

Methods in org.tribuo.ensemble that return Prediction

Modifier and Type	Method and Description
Prediction<T>	EnsembleCombiner.combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions) Combine the predictions.
Prediction<T>	EnsembleCombiner.combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions, float[] weights) Combine the supplied predictions.
Prediction<T>	WeightedEnsembleModel.predict(Example<T> example)

Method parameters in org.tribuo.ensemble with type arguments of type Prediction

Modifier and Type	Method and Description
Prediction<T>	EnsembleCombiner.combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions) Combine the predictions.
Prediction<T>	EnsembleCombiner.combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions, float[] weights) Combine the supplied predictions.

Constructors in org.tribuo.ensemble with parameters of type Prediction

Constructor and Description
EnsembleExcuse(Example<T> example, Prediction<T> prediction, Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>> weights, List<Excuse<T>> innerExcuses)

Uses of Prediction in org.tribuo.evaluation

Methods in org.tribuo.evaluation that return Prediction

Modifier and Type	Method and Description
Prediction<T>	OnlineEvaluator.predictAndObserve(Example<T> example) Feeds the example to the model, records the prediction and returns it.

Methods in org.tribuo.evaluation that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<T>>	Evaluation.getPredictions() Gets the predictions stored in this evaluation.
List<Prediction<T>>	OnlineEvaluator.predictAndObserve(Iterable<Example<T>> examples) Feeds the examples to the model, records the predictions and returns them.

Methods in org.tribuo.evaluation with parameters of type Prediction

Modifier and Type	Method and Description
void	OnlineEvaluator.observe(Prediction<T> newPrediction) Records the supplied prediction.

Method parameters in org.tribuo.evaluation with type arguments of type Prediction

Modifier and Type	Method and Description
protected abstract C	AbstractEvaluator.createContext(Model<T> model, List<Prediction<T>> predictions) Create the context needed for evaluation.
E	Evaluator.evaluate(Model<T> model, List<Prediction<T>> predictions, DataProvenance dataProvenance) Evaluates the model performance using the supplied predictions, returning an immutable Evaluation of the appropriate type.
E	AbstractEvaluator.evaluate(Model<T> model, List<Prediction<T>> predictions, DataProvenance dataProvenance) Produces an evaluation for the supplied model and predictions by aggregating the appropriate statistics.
default E	Evaluator.evaluate(Model<T> model, List<Prediction<T>> predictions, List<T> groundTruth, DataProvenance dataProvenance) Evaluates the model performance using the supplied predictions, returning an immutable Evaluation of the appropriate type.
void	OnlineEvaluator.observe(List<Prediction<T>> newPredictions) Records all the supplied predictions.
static <T extends Output<T>,C extends MetricContext<T>> DescriptiveStats	EvaluationAggregator.summarize(List<? extends EvaluationMetric<T,C>> metrics, Model<T> model, List<Prediction<T>> predictions) Summarize model performance on dataset across several metrics.

Uses of Prediction in org.tribuo.evaluation.metrics

Methods in org.tribuo.evaluation.metrics that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<T>>	MetricContext.getPredictions() Gets the predictions used by this context.

Method parameters in org.tribuo.evaluation.metrics with type arguments of type Prediction

Modifier and Type	Method and Description
C	EvaluationMetric.createContext(Model<T> model, List<Prediction<T>> predictions) Creates the context this metric uses to compute it's value.

Constructor parameters in org.tribuo.evaluation.metrics with type arguments of type Prediction

Constructor and Description
MetricContext(Model<T> model, List<Prediction<T>> predictions)
MetricContext(SequenceModel<T> model, List<Prediction<T>> predictions)

Uses of Prediction in org.tribuo.interop

Methods in org.tribuo.interop that return Prediction

Modifier and Type	Method and Description
protected abstract Prediction<T>	ExternalModel.convertOutput(V output, int numValidFeatures, Example<T> example) Converts the output of the external model into a Prediction.
Prediction<T>	ExternalModel.predict(Example<T> example)

Methods in org.tribuo.interop that return types with arguments of type Prediction

Modifier and Type	Method and Description
protected abstract List<Prediction<T>>	ExternalModel.convertOutput(V output, int[] numValidFeatures, List<Example<T>> examples) Converts the output of the external model into a list of Predictions.
protected List<Prediction<T>>	ExternalModel.innerPredict(Iterable<Example<T>> examples)

Uses of Prediction in org.tribuo.interop.onnx

Methods in org.tribuo.interop.onnx that return Prediction

Modifier and Type	Method and Description
protected Prediction<T>	ONNXExternalModel.convertOutput(List<ai.onnxruntime.OnnxValue> output, int numValidFeatures, Example<T> example) Converts a tensor into a prediction.
Prediction<Label>	LabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo, int numValidFeatures, Example<Label> example)
Prediction<Regressor>	RegressorTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example)
Prediction<T>	OutputTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo, int numValidFeatures, Example<T> example) Converts a OnnxValue into a Prediction.

Methods in org.tribuo.interop.onnx that return types with arguments of type Prediction

Modifier and Type	Method and Description
protected List<Prediction<T>>	ONNXExternalModel.convertOutput(List<ai.onnxruntime.OnnxValue> output, int[] numValidFeatures, List<Example<T>> examples) Converts a tensor into a prediction.
List<Prediction<Label>>	LabelTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo, int[] numValidFeatures, List<Example<Label>> examples)
List<Prediction<Regressor>>	RegressorTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> examples)
List<Prediction<T>>	OutputTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo, int[] numValidFeatures, List<Example<T>> examples) Converts a OnnxValue containing multiple outputs into a list of Predictions.

Uses of Prediction in org.tribuo.interop.tensorflow

Methods in org.tribuo.interop.tensorflow that return Prediction

Modifier and Type	Method and Description
protected Prediction<T>	TensorFlowFrozenExternalModel.convertOutput(org.tensorflow.Tensor output, int numValidFeatures, Example<T> example) Converts a tensor into a prediction.
protected Prediction<T>	TensorFlowSavedModelExternalModel.convertOutput(TensorMap output, int numValidFeatures, Example<T> example) Converts a tensor into a prediction.
Prediction<Label>	LabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Label> outputIDInfo, int numValidFeatures, Example<Label> example)
Prediction<MultiLabel>	MultiLabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)
Prediction<Regressor>	RegressorConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example)
Prediction<T>	OutputConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<T> outputIDInfo, int numValidFeatures, Example<T> example) Converts a Tensor into a Prediction.
Prediction<T>	TensorFlowModel.predict(Example<T> example)

Methods in org.tribuo.interop.tensorflow that return types with arguments of type Prediction

Modifier and Type	Method and Description
protected List<Prediction<T>>	TensorFlowFrozenExternalModel.convertOutput(org.tensorflow.Tensor output, int[] numValidFeatures, List<Example<T>> examples) Converts a tensor into a prediction.
protected List<Prediction<T>>	TensorFlowSavedModelExternalModel.convertOutput(TensorMap output, int[] numValidFeatures, List<Example<T>> examples) Converts a tensor into a prediction.
List<Prediction<Label>>	LabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Label> outputIDInfo, int[] numValidFeatures, List<Example<Label>> examples)
List<Prediction<MultiLabel>>	MultiLabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
List<Prediction<Regressor>>	RegressorConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> examples)
List<Prediction<T>>	OutputConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<T> outputIDInfo, int[] numValidFeatures, List<Example<T>> examples) Converts a Tensor containing multiple outputs into a list of Predictions.
protected List<Prediction<T>>	TensorFlowModel.innerPredict(Iterable<Example<T>> examples)

Uses of Prediction in org.tribuo.interop.tensorflow.sequence

Methods in org.tribuo.interop.tensorflow.sequence that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<List<Prediction<T>>>	SequenceOutputConverter.decode(org.tensorflow.Tensor outputs, List<SequenceExample<T>> inputBatch, ImmutableOutputInfo<T> labelMap) Decode graph output tensors corresponding to a batch of input sequences.
List<Prediction<T>>	SequenceOutputConverter.decode(org.tensorflow.Tensor output, SequenceExample<T> input, ImmutableOutputInfo<T> labelMap) Decode a tensor of graph output into a list of predictions for the input sequence.
List<Prediction<T>>	TensorFlowSequenceModel.predict(SequenceExample<T> example)

Uses of Prediction in org.tribuo.multilabel.baseline

Methods in org.tribuo.multilabel.baseline that return Prediction

Modifier and Type	Method and Description
Prediction<MultiLabel>	IndependentMultiLabelModel.predict(Example<MultiLabel> example)

Uses of Prediction in org.tribuo.multilabel.evaluation

Methods in org.tribuo.multilabel.evaluation that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<MultiLabel>>	MultiLabelEvaluationImpl.getPredictions()

Method parameters in org.tribuo.multilabel.evaluation with type arguments of type Prediction

Modifier and Type	Method and Description
org.tribuo.multilabel.evaluation.MultiLabelMetric.Context	MultiLabelMetric.createContext(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
protected org.tribuo.multilabel.evaluation.MultiLabelMetric.Context	MultiLabelEvaluator.createContext(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
static double	MultiLabelMetrics.jaccardScore(List<Prediction<MultiLabel>> predictions) The average Jaccard score across the predictions.

Constructor parameters in org.tribuo.multilabel.evaluation with type arguments of type Prediction

Constructor and Description
MultiLabelConfusionMatrix(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)

Uses of Prediction in org.tribuo.multilabel.sgd.linear

Methods in org.tribuo.multilabel.sgd.linear that return Prediction

Modifier and Type	Method and Description
Prediction<MultiLabel>	LinearSGDModel.predict(Example<MultiLabel> example)

Uses of Prediction in org.tribuo.regression.baseline

Methods in org.tribuo.regression.baseline that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	DummyRegressionModel.predict(Example<Regressor> example)

Uses of Prediction in org.tribuo.regression.ensemble

Methods in org.tribuo.regression.ensemble that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	AveragingCombiner.combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions)
Prediction<Regressor>	AveragingCombiner.combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions, float[] weights)

Method parameters in org.tribuo.regression.ensemble with type arguments of type Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	AveragingCombiner.combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions)
Prediction<Regressor>	AveragingCombiner.combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions, float[] weights)

Uses of Prediction in org.tribuo.regression.evaluation

Method parameters in org.tribuo.regression.evaluation with type arguments of type Prediction

Modifier and Type	Method and Description
org.tribuo.regression.evaluation.RegressionMetric.Context	RegressionMetric.createContext(Model<Regressor> model, List<Prediction<Regressor>> predictions)
protected org.tribuo.regression.evaluation.RegressionMetric.Context	RegressionEvaluator.createContext(Model<Regressor> model, List<Prediction<Regressor>> predictions)

Constructor parameters in org.tribuo.regression.evaluation with type arguments of type Prediction

Constructor and Description
RegressionSufficientStatistics(ImmutableOutputInfo<Regressor> domain, List<Prediction<Regressor>> predictions, boolean useExampleWeights)

Uses of Prediction in org.tribuo.regression.impl

Methods in org.tribuo.regression.impl that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	SkeletalIndependentRegressionSparseModel.predict(Example<Regressor> example)
Prediction<Regressor>	SkeletalIndependentRegressionModel.predict(Example<Regressor> example)

Uses of Prediction in org.tribuo.regression.liblinear

Methods in org.tribuo.regression.liblinear that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	LibLinearRegressionModel.predict(Example<Regressor> example)

Uses of Prediction in org.tribuo.regression.libsvm

Methods in org.tribuo.regression.libsvm that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	LibSVMRegressionModel.predict(Example<Regressor> example)

Uses of Prediction in org.tribuo.regression.rtree

Methods in org.tribuo.regression.rtree that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	IndependentRegressionTreeModel.predict(Example<Regressor> example)

Uses of Prediction in org.tribuo.regression.sgd.linear

Methods in org.tribuo.regression.sgd.linear that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	LinearSGDModel.predict(Example<Regressor> example)

Uses of Prediction in org.tribuo.regression.xgboost

Methods in org.tribuo.regression.xgboost that return Prediction

Modifier and Type	Method and Description
Prediction<Regressor>	XGBoostRegressionConverter.convertOutput(ImmutableOutputInfo<Regressor> info, List<float[]> probabilities, int numValidFeatures, Example<Regressor> example)

Methods in org.tribuo.regression.xgboost that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<Regressor>>	XGBoostRegressionConverter.convertBatchOutput(ImmutableOutputInfo<Regressor> info, List<float[][]> probabilities, int[] numValidFeatures, Example<Regressor>[] examples)

Uses of Prediction in org.tribuo.sequence

Methods in org.tribuo.sequence that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<List<Prediction<T>>>	SequenceModel.predict(Iterable<SequenceExample<T>> examples) Uses the model to predict the output for multiple examples.
List<List<Prediction<T>>>	SequenceModel.predict(SequenceDataset<T> examples) Uses the model to predict the labels for multiple examples contained in a data set.
abstract List<Prediction<T>>	SequenceModel.predict(SequenceExample<T> example) Uses the model to predict the output for a single example.
List<Prediction<T>>	IndependentSequenceModel.predict(SequenceExample<T> example)

Method parameters in org.tribuo.sequence with type arguments of type Prediction

Modifier and Type	Method and Description
protected abstract C	AbstractSequenceEvaluator.createContext(SequenceModel<T> model, List<List<Prediction<T>>> predictions) Create the context needed for evaluation.
E	SequenceEvaluator.evaluate(SequenceModel<T> model, List<List<Prediction<T>>> predictions, DataProvenance dataProvenance) Evaluates the supplied model and predictions by aggregating the appropriate statistics.
E	AbstractSequenceEvaluator.evaluate(SequenceModel<T> model, List<List<Prediction<T>>> predictions, DataProvenance dataProvenance) Produces an evaluation for the supplied model and predictions by aggregating the appropriate statistics.
static <T extends Output<T>> List<T>	SequenceModel.toMaxLabels(List<Prediction<T>> predictions)

Uses of Prediction in org.tribuo.transform

Methods in org.tribuo.transform that return Prediction

Modifier and Type	Method and Description
Prediction<T>	TransformedModel.predict(Example<T> example)

Methods in org.tribuo.transform that return types with arguments of type Prediction

Modifier and Type	Method and Description
List<Prediction<T>>	TransformedModel.predict(Dataset<T> examples)